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1.
J Mol Diagn ; 22(12): 1476-1481, 2020 12.
Artículo en Inglés | MEDLINE | ID: mdl-33132082

RESUMEN

Chromosomal microarray testing is indicated for patients with diagnoses including unexplained developmental delay or intellectual disability, autism spectrum disorders, and multiple congenital anomalies. The short multiply aggregated sequence homologies (SMASH) genomic assay is a novel next-generation sequencing technology that performs copy number analysis at resolution similar to high-coverage whole genome sequencing but requires far less capacity. We benchmarked the performance of SMASH on a panel of genomic DNAs containing known copy number variants (CNVs). SMASH was able to detect pathogenic copy number variants of ≥10 kb in 77 of 77 samples. No pathogenic events were seen in 32 of 32 controls, indicating 100% sensitivity and specificity for detecting pathogenic CNVs >10 kb. Repeatability (interassay precision) and reproducibility (intra-assay precision) were assessed with 13 samples and showed perfect concordance. We also established that SMASH had a limit of detection of 20% for detection of large mosaic CNVs. Finally, we analyzed seven blinded specimens by SMASH analysis and successfully identified all pathogenic events. These results establish the efficacy of the SMASH genomic assay as a clinical test for the detection of pathogenic copy number variants at a resolution comparable to chromosomal microarray analysis.


Asunto(s)
Variaciones en el Número de Copia de ADN , Secuenciación de Nucleótidos de Alto Rendimiento/métodos , Análisis de Secuencia de ADN/métodos , Homología de Secuencia , Secuenciación Completa del Genoma/métodos , Anomalías Múltiples/diagnóstico , Anomalías Múltiples/genética , Trastorno del Espectro Autista/diagnóstico , Trastorno del Espectro Autista/genética , Discapacidades del Desarrollo/diagnóstico , Discapacidades del Desarrollo/genética , Pruebas Genéticas/métodos , Genoma Humano , Humanos , Discapacidad Intelectual/diagnóstico , Discapacidad Intelectual/genética , Límite de Detección , Análisis por Micromatrices/métodos , Reproducibilidad de los Resultados , Sensibilidad y Especificidad
2.
J Mol Diagn ; 20(6): 822-835, 2018 11.
Artículo en Inglés | MEDLINE | ID: mdl-30138725

RESUMEN

We developed and validated a clinical whole-genome and transcriptome sequencing (WGTS) assay that provides a comprehensive genomic profile of a patient's tumor. The ability to fully capture the mappable genome with sufficient sequencing coverage to precisely call DNA somatic single nucleotide variants, insertions/deletions, copy number variants, structural variants, and RNA gene fusions was analyzed. New York State's Department of Health next-generation DNA sequencing guidelines were expanded for establishing performance validation applicable to whole-genome and transcriptome sequencing. Whole-genome sequencing laboratory protocols were validated for the Illumina HiSeq X Ten platform and RNA sequencing for Illumina HiSeq2500 platform for fresh or frozen and formalin-fixed, paraffin-embedded tumor samples. Various bioinformatics tools were also tested, and CIs for sensitivity and specificity thresholds in calling clinically significant somatic aberrations were determined. The validation was performed on a set of 125 tumor normal pairs. RNA sequencing was performed to call fusions and to confirm the DNA variants or exonic alterations. Here, we present our results and WGTS standards for variant allele frequency, reproducibility, analytical sensitivity, and present limit of detection analysis for single nucleotide variant calling, copy number identification, and structural variants. We show that The New York Genome Center WGTS clinical assay can provide a comprehensive patient variant discovery approach suitable for directed oncologic therapeutic applications.


Asunto(s)
Variación Genética , Neoplasias/genética , Informe de Investigación , Transcriptoma/genética , Secuenciación Completa del Genoma/métodos , Variaciones en el Número de Copia de ADN/genética , Frecuencia de los Genes/genética , Humanos , Límite de Detección , Reproducibilidad de los Resultados
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